Li‐Wha Wu
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Immunology top 5%
Papers in
-
- Angiogenesis and VEGF in Cancer 13
- S100 Proteins and Annexins 6
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- Cancer, Hypoxia, and Metabolism 7
- Protease and Inhibitor Mechanisms 6
- NF-κB Signaling Pathways 5
- Co-authors
- David B. Donner (6 shared papers)James D. Dunbar (5 shared papers)Sen‐Tien Tsai (13 shared papers)Michael Karin (3 shared papers)Robert S. Warren (3 shared papers)Lindsey D. Mayo (3 shared papers)Kepeng Wang (2 shared papers)Koji Taniguchi (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Oral Oncology (3 papers)Oral Diseases (2 papers)Wound Repair and Regeneration (2 papers)Annals of Plastic Surgery (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Li‐Wha Wu
77 papers receiving 3.1k citations
Li‐Wha Wu's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 556
- Immunology 649
- Oncology 757
- Cell Biology 443
- Molecular Biology 1.8k
Countries citing papers authored by Li‐Wha Wu
This map shows the geographic impact of Li‐Wha Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li‐Wha Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Wha Wu more than expected).
Fields of papers citing papers by Li‐Wha Wu
This network shows the impact of papers produced by Li‐Wha Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li‐Wha Wu. The network helps show where Li‐Wha Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Wha Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A gp130–Src–YAP module links inflammation to epithelial regeneration Hit paper breakdown → | 2015 | 502 |
| 2 | 2014 | 263 | |
| 3 | 2000 | 251 | |
| 4 | 2011 | 115 | |
| 5 | 2009 | 103 | |
| 6 | 2000 | 98 | |
| 7 | 2010 | 97 | |
| 8 | 2000 | 95 | |
| 9 | 2014 | 91 | |
| 10 | 2008 | 81 | |
| 11 | 2009 | 63 | |
| 12 | 2001 | 56 | |
| 13 | 2013 | 52 | |
| 14 | 2020 | 51 | |
| 15 | 2019 | 50 | |
| 16 | 2003 | 49 | |
| 17 | 2006 | 47 | |
| 18 | 2003 | 46 | |
| 19 | 2011 | 45 | |
| 20 | 2016 | 44 |
About Li‐Wha Wu
Li‐Wha Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cell Adhesion Molecules Research (6 papers), S100 Proteins and Annexins (6 papers), Protease and Inhibitor Mechanisms (6 papers), NF-κB Signaling Pathways (5 papers), Wound Healing and Treatments (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Cancer Research (556 citations), Immunology (649 citations), Oncology (757 citations), Cell Biology (443 citations) and Molecular Biology (1.8k citations). Li‐Wha Wu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include David B. Donner, James D. Dunbar, Sen‐Tien Tsai, Michael Karin, Robert S. Warren, Lindsey D. Mayo, Kepeng Wang, Koji Taniguchi, Sergei I. Grivennikov and Eric Jaffe. Their work appears in journals such as Journal of Biological Chemistry, Oral Oncology, Oral Diseases, Wound Repair and Regeneration and Annals of Plastic Surgery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.